ScholarlyCommons at Penn
metadata only
Learning-Enabled Control: Statistical Foundations and Architectures
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Contraction-Aware Reinforcement Learning for Nonlinear Control with Statistical Robustness#612794
- Contraction-Aware Reinforcement Learning for Nonlinear Control with Statistical Robustness#611317
- Stability-aware Residual Reinforcement Learning Framework for Robotic Manipulator Disturbance Compensation#1035714
- Data and code supporting the PhD Thesis: Learning-based model predictive control for mixed-logical dynamical and linear systems#26408
- Data and code supporting the PhD Thesis: Learning-based model predictive control for mixed-logical dynamical and linear systems#26407
Record · ID 637483
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive